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Dynamic contact networks of residents of an urban jail in the era of SARS-CoV-2.
Jenness, Samuel M; Wallrafen-Sam, Karina; Schneider, Isaac; Kennedy, Shanika; Akiyama, Matthew J; Spaulding, Anne C.
Affiliation
  • Jenness SM; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA. Electronic address: samuel.m.jenness@emory.edu.
  • Wallrafen-Sam K; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
  • Schneider I; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
  • Kennedy S; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
  • Akiyama MJ; Divisions of General Internal Medicine & Infectious Diseases, Albert Einstein College of Medicine, Bronx, New York, USA.
  • Spaulding AC; Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Epidemics ; 47: 100772, 2024 Jun.
Article in En | MEDLINE | ID: mdl-38776713
ABSTRACT

BACKGROUND:

In custodial settings such as jails and prisons, infectious disease transmission is heightened by factors such as overcrowding and limited healthcare access. Specific features of social contact networks within these settings have not been sufficiently characterized, especially in the context of a large-scale respiratory infectious disease outbreak. The study aims to quantify contact network dynamics within the Fulton County Jail in Atlanta, Georgia.

METHODS:

Jail roster data were utilized to construct social contact networks. Rosters included resident details, cell locations, and demographic information. This analysis involved 6702 male residents over 140,901 person days. Network statistics, including degree, mixing, and dissolution (movement within and out of the jail) rates, were assessed. We compared outcomes for two distinct periods (January 2022 and April 2022) to understand potential responses in network structures during and after the SARS-CoV-2 Omicron variant peak.

RESULTS:

We found high cross-sectional network degree at both cell and block levels. While mean degree increased with age, older residents exhibited lower degree during the Omicron peak. Block-level networks demonstrated higher mean degrees than cell-level networks. Cumulative degree distributions increased from January to April, indicating heightened contacts after the outbreak. Assortative age mixing was strong, especially for younger residents. Dynamic network statistics illustrated increased degrees over time, emphasizing the potential for disease spread.

CONCLUSIONS:

Despite some reduction in network characteristics during the Omicron peak, the contact networks within the Fulton County Jail presented ideal conditions for infectious disease transmission. Age-specific mixing patterns suggested unintentional age segregation, potentially limiting disease spread to older residents. This study underscores the necessity for ongoing monitoring of contact networks in carceral settings and provides valuable insights for epidemic modeling and intervention strategies, including quarantine, depopulation, and vaccination, laying a foundation for understanding disease dynamics in such environments.Top of Form.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Jails / SARS-CoV-2 / COVID-19 Limits: Adolescent / Adult / Aged / Humans / Male / Middle aged Country/Region as subject: America do norte Language: En Journal: Epidemics Year: 2024 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Jails / SARS-CoV-2 / COVID-19 Limits: Adolescent / Adult / Aged / Humans / Male / Middle aged Country/Region as subject: America do norte Language: En Journal: Epidemics Year: 2024 Document type: Article
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